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Volumn 57, Issue 2, 2002, Pages 297-306
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Prediction of gas chromatographic retention indices by the use of radial basis function neural networks
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Author keywords
Boiling point; Molar volume; Neural network; Quantitative structure retention relationship; Radial basis function
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Indexed keywords
CORRELATION METHODS;
FORECASTING;
GAS CHROMATOGRAPHY;
OPTIMIZATION;
TOPOLOGY;
MOLECULAR PROPERTIES;
NEURAL NETWORKS;
1 HEXENE;
ACETIC ACID ETHYL ESTER;
ALKANONE;
BUTANE;
CYCLOBUTANE;
CYCLOHEXANE;
CYCLOPENTANE;
DECANE;
ETHER DERIVATIVE;
HEPTANE;
HEPTANOL;
HEXANE;
HEXANOL;
ISOBUTYRIC ACID;
ISOPENTANE;
OCTANE;
OCTANOL;
PENTANE;
PENTANOL;
PROPANE;
PROPIONIC ACID;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
CORRELATION COEFFICIENT;
GAS CHROMATOGRAPHY;
MODEL;
MOLECULAR MECHANICS;
PHYSICAL CHEMISTRY;
PREDICTION;
QUANTITATIVE STRUCTURE ACTIVITY RELATION;
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EID: 0037118166
PISSN: 00399140
EISSN: None
Source Type: Journal
DOI: 10.1016/S0039-9140(02)00031-0 Document Type: Article |
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Times cited : (34)
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References (15)
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